Rapid advance of location acquisition technologies boosts the generation of trajectory data,
which track the traces of moving objects. A trajectory is typically represented by a sequence …

Next location prediction has recently gained great attention from researchers due to its
importance in different application areas. Recent growth of location-based service …

Demographics are widely used in marketing to characterize different types of customers.
However, in practice, demographic information such as age, gender, and location is usually …

Point of interest (POI) recommendation, which provides personalized recommendation of
places to mobile users, is an important task in location-based social networks (LBSNs) …

Abstract Point-of-interest (POI) recommendations can help users effectively explore new
locations according to their preferences, which is an important research aspect for location …

With the explosion of smartphones and social network services, location-based social
networks (LBSNs) are increasingly seen as tools for businesses (eg, restaurants, hotels) to …

In location-based social networks (LBSNs), time significantly affects users' check-in
behaviors, for example, people usually visit different places at different times of weekdays …

The presence of user-generated ratings has dramatically facilitated the development of
recommendation systems to aid users in discovering relevant and personalized points of …

With the increase in the use of mobile devices having location-related capabilities, the use of
Location-Based Social Networks (LBSN) has also increased, allowing users to share …

With the growing popularity of location-based social networks, numerous location visiting
records (eg, check-ins) continue to accumulate over time. The more these records are …